Key Responsibilities:
Develop, maintain, and optimize data pipelines using SQL, Spark, and Python.
Integrate and process data using AWS services such as Glue, Athena, and Redshift.
Perform functional and automated testing of data pipelines to ensure accuracy and reliability.
Monitor, debug, and perform performance tuning on existing data pipelines.
Collaborate with teams on data analysis and lakehouse development initiatives.
Ensure best practices in data engineering, data quality, and data governance.
📌 Aws Data Engineer Bengaluru
🏢 RandomTrees
📍 Bengaluru
Reply to this offer
Impress this employer describing Your skills and abilities, fill out the form below and leave Your personal touch in the presentation letter.